Search alternatives:
significantly different » significant difference (Expand Search), significant differences (Expand Search)
spatial decrease » spatial release (Expand Search), substantial decrease (Expand Search)
different model » different models (Expand Search), different modes (Expand Search)
significantly different » significant difference (Expand Search), significant differences (Expand Search)
spatial decrease » spatial release (Expand Search), substantial decrease (Expand Search)
different model » different models (Expand Search), different modes (Expand Search)
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Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice.
Published 2024“…(C) In vCA1, spatial information was decreased in APP/PS1 mice relative to C57BL/6 controls (mean ± std: C57BL/6 = 0.138 ± 0.065, APP/PS1 = 0.112 ± 0.035, p < 10<sup>−6</sup>, two-sided Wilcoxon rank-sum test, n<sub>C57BL/6</sub> = 689 units from 6 recording sessions, n<sub>APP/PS1</sub> = 651 units from 8 recording sessions). …”
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IR-induced mutation profiles of DNA repair mutants significantly different from wild-type.
Published 2021Subjects: -
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Boruta, random forest model variable significance and ranking for biological sound producers.
Published 2023“…Bars represent the significance (mean Z-score) of each variable from the Boruta wrapper algorithm based on a random forest model. …”
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500m scale main data of each grid.
Published 2023“…A large scale significantly reflects the overall decrease in the coupling coordination degrees from the core to the periphery, while a small scale shows the polycentric pattern characteristics of the urban spatial structure.…”
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1000m scale main data of each grid.
Published 2023“…A large scale significantly reflects the overall decrease in the coupling coordination degrees from the core to the periphery, while a small scale shows the polycentric pattern characteristics of the urban spatial structure.…”
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2000m scale main data of each grid.
Published 2023“…A large scale significantly reflects the overall decrease in the coupling coordination degrees from the core to the periphery, while a small scale shows the polycentric pattern characteristics of the urban spatial structure.…”
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Spatial Dubin panel model estimation results.
Published 2024“…It is found that: (1) the scale and vitality of China’s digital technology innovation have increased significantly, and there are obvious spatial differentiation characteristics, and the innovation level of "eastern coastal—central and western interior" is decreasing, forming a cluster distribution pattern in the Yangtze River Delta region, Beijing, Guangdong, and other places, and the degree of agglomeration is decreasing. (2) The overall regional differences in China’s digital technology innovation are large, the differences between the East and the West dominate the interregional differences, and the net differences between regions are the main factors leading to regional differences. (3) There is a significant positive spatial correlation between the scale and vitality of digital technology innovation, which has a significant spatial spillover effect. (4) The results confirm that the level of economic development, digital access, financial scientific and technological support, technology market development level, and R&D intensity have a significant positive impact on the scale and vitality of digital technology innovation; The investment in scientific and technological talents has a significant positive impact on the scale of digital technology innovation, but has no significant impact on the vitality of digital technology innovation.…”
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Significant spatial clusters of open defecation practice among households in Ethiopia, EDHS 2016.
Published 2022Subjects: -
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Boruta, random forest model variable significance and ranking for sound pressure levels and anthropogenic noise detections.
Published 2023“…Bars represent the significance (mean Z-score) of each variable from the Boruta wrapper algorithm based on a random forest model. …”
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ECoG timescales decrease during spatial attention.
Published 2025“…Bottom: timescales significantly decrease during covert attention relative to the attend-out condition (two locations: <i>p</i> = 0.0244; four locations: <i>p</i> < 0.0001; mean ± SEM; whiskers indicate maximum and minimum; dots correspond to individual electrodes). …”
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